光谱学与光谱分析, 2015, 35 (7): 1894, 网络出版: 2015-09-08   

不同光程对山茶油掺假近红外检测精度的影响

Effect of Optical Length on Detection Accuracy of Camellia Oil Adulteration by Near Infrared Spectroscopy
作者单位
江西农业大学生物光电技术及应用重点实验室, 江西 南昌 330045
摘要
利用近红外光谱在不同光程下对山茶油中掺杂大豆油的掺伪量进行定量检测研究,着重分析光程对掺伪量检测精度的影响.将大豆油按一定质量分数掺入山茶油获取实验样本,掺伪质量分数范围为1%~50%.利用QualitySpec型光谱仪采集样本在不同光程(1,2,4,10 mm)下的透射光谱,通过对比不同建模方法、预处理方法及建模波段范围所建立的掺伪量定量预测模型,分析光程对掺伪量检测精度的影响.研究结果表明,光程由1 mm增加到4 mm时,掺伪量定量预测模型性能随着光程的增加而逐渐变好,检测精度逐步提高;光程由 4 mm增加到10 mm时,掺伪量定量预测模型性能变差,检测精度下降,4 mm为较优的光程.在1,2,4和10 mm下所建立的较优掺伪量定量预测模型的预测集决定系数(R2P)和预测均方根误差(RMSEP)分别为0.923,0.977,0.989,0.962和4.58%,2.54%,1.72%,3.20%。
Abstract
In this research,near infrared spectroscopy was used to detect adulterated percent of camellia oil adulterated with soybean oil quantificationally at different optical lengths,and the effect of optical length on detection accuracy of adulterated percent was investigated.Soybean oil was put into camellia oil according to different mass fraction,the adulterated mass fraction was ranged from 1% to 50%.Transmission spectra of samples were acquired by a Quality Specspectrometer at different optical lengths(1,2,4,10 mm),and effect of optical length on detection accuracy of adulterated percent was analyzed by comparing quantitative prediction models that developed at different calibration methods,pretreatment methods and wavelength range.The results indicate that the performance of quantitative prediction model of adulterated percent is improved as the optical length is increasing from 1 to 4 mm,while the performance of quantitative prediction model of adulterated percent is deteriorated as the optical length is increasing from 4 to 10 mm.4 mm is a better optical length for camellia oil adulteration.The coefficients of determination of prediction(R2P) and root mean square error of prediction(RMSEP) in quantitative prediction models of adulterated percent for optical lengths of 1,2,4,10 mm are 0.923,0.977,0.989,0.962 and 4.58%,2.54%,1.72%,3.20%,respectively.
参考文献

[1] LU Wan-zhen(陆婉珍).Modern Near Infrared Spectroscopy Analytical Technology(现代近红外光谱分析技术).Beijing:China Petrochemical Press(北京:中国石化出版社),2007.

[2] Cen H,He Y.Trends in Food Science & Technology,2007,18(2):72.

[3] Wu D,Chen X J,Zhu X G,et al.Analytical Methods,2011,3(8),1790.

[4] Dos Santos C A T,Lopo M,Pascoa R N M J,et al.Applied Spectroscopy,2013,67(11):1215.

[5] Wu D,He Y,Nie P C,et al.Analytica Chimica Acta,2010,659(1-2):229.

[6] Cheng J H,Dai Q,Sun D W,et al.Trends in Food Science & Technology,2013,34(1):18.

[7] ZHAO Jie-wen,GUO Zhi-ming,CHEN Quan-sheng,et al(赵杰文,郭志明,陈全胜,等).Acta Optica Sinica(光学学报),2008,28(12):2302.

[8] Yang H,Irudayaraj J.Journal of the American Oil Chemistry Society,2001,78(9):889.

[9] Ozdemir D,Ozturk B.Journal of Food and Drug Analysis,2007,15(1):40.

[10] Christy A A,Kasemsumran S,Du Y,et al.Analytical Sciences,2004,20(6):935.

[11] Ozturk B,Yalcin A,Ozdemir D.Journal of Near Infrared Spectroscopy,2010,18(3):191.

[12] WANG Chuan-xian,CHU Qing-hua,NI Xin-lu,et al(王传现,褚庆华,倪昕路,等).Food Science(食品科学),2010,31(24):402.

[13] ZHANG Ju-hua,ZHU Xiang-rong,SHANG Xue-bo,et al(张菊华,朱向荣,尚雪波,等).Science and Technology of Food Industry(食品工业科技),2012,33(3):334.

[14] Wang L,Lee F S C,Wang X,et al.Food Chemistry,2006,95:529.

[15] SUN Tong,HU Tian,XU Wen-li,et al(孙通,胡田,许文丽,等).China Oils and Fats(中国油脂),2013,38(10):75.

孙通, 吴宜青, 许朋, 温珍才, 胡田, 刘木华. 不同光程对山茶油掺假近红外检测精度的影响[J]. 光谱学与光谱分析, 2015, 35(7): 1894. SUN Tong, WU Yi-qing, XU Peng, WEN Zhen-cai, HU Tian, LIU Mu-hua. Effect of Optical Length on Detection Accuracy of Camellia Oil Adulteration by Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2015, 35(7): 1894.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!